geex: An API for M-Estimation

Provides a general, flexible framework for estimating parameters and empirical sandwich variance estimator from a set of unbiased estimating equations (i.e., M-estimation in the vein of Stefanski & Boos (2002) <doi:10.1198/000313002753631330>). Also provides an API to compute finite-sample variance corrections.

Version: 1.0.3
Depends: R (≥ 3.3)
Imports: Matrix (≥ 1.2-6), rootSolve (≥ 1.6.6), numDeriv (≥ 2014.2-1), lme4 (≥ 1.1-12), methods (≥ 3.3)
Suggests: testthat, knitr, dplyr, moments, sandwich, inferference, xtable, AER, ICSNP, MASS, gee, ivpack, saws, rmarkdown, geepack, covr
Published: 2017-09-04
Author: Bradley Saul [aut, cre], Brian Barkley [ctb]
Maintainer: Bradley Saul <bradleysaul at gmail.com>
BugReports: https://github.com/bsaul/geex/issues
License: MIT + file LICENSE
URL: https://github.com/bsaul/geex, https://bsaul.github.io/geex/
NeedsCompilation: no
Materials: NEWS
CRAN checks: geex results

Downloads:

Reference manual: geex.pdf
Vignettes: Introduction to geex
Calculus of M-estimation examples using geex
A comparison of geex and sandwich for robust covariance estimation
Root solvers in geex
Using weights in geex
Finite sample correction API
Estimating causal parameters using geex
The software design of geex
Package source: geex_1.0.3.tar.gz
Windows binaries: r-devel: geex_1.0.3.zip, r-release: geex_1.0.3.zip, r-oldrel: geex_1.0.3.zip
OS X binaries: r-release: geex_1.0.3.tgz, r-oldrel: geex_1.0.3.tgz

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